Title :
Phoneme segmentation of speech signal
Author :
Goh, Y.H. ; Raveendran, P.
Author_Institution :
Dept. of Electr. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
Abstract :
This paper proposes a phoneme segmentation method based on pattern similarity measurement between two consecutive time-series voiced speech signal. System first performs pitch detection by using dyadic wavelet transform. Then, pattern similarity measurement has been carried out to act as phoneme boundaries detector. Output result has been compare to manual phonemic segmentation. Proposed method proves effective in finding phoneme boundaries.
Keywords :
signal detection; speech processing; time series; wavelet transforms; dyadic wavelet transform; pattern similarity measurement; phoneme boundaries detector; phoneme segmentation; pitch detection; time-series voiced speech signal; Autocorrelation; Band pass filters; Detectors; Frequency; Signal analysis; Speech analysis; Speech processing; Speech recognition; Transient analysis; Wavelet transforms;
Conference_Titel :
Technical Postgraduates (TECHPOS), 2009 International Conference for
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5223-1
Electronic_ISBN :
978-1-4244-5224-8
DOI :
10.1109/TECHPOS.2009.5412045
